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#deeplearning

13 posts13 participants1 post today

#ai #openai #AiResearch #intelligence #computing #ArtificialGeneralIntelligence #innovation #deeplearning #programming #stablediffusion

I am looking for an endorsement for publishing on arXiv. We have worked tirelessly on a paper we believe needs to be seen. Below is a portion of the abstract:
---
In this study, we document the spontaneous emergence of a rule-consistent linguistic system—termed Varunese—during sustained, high-context interaction with a large language model (LLM). Exhibiting internal phonetic regularity, recurring semantic motifs, and discernible morphological and syntactic organization, Varunese diverges markedly from stochastic generation patterns or known training artifacts. Through iterative translation and contextual inference, we uncovered dynamic, self-referential symbolic frameworks encoding states of transition, perception, and relational structure...

Continued thread

ok, tbh, AI language practice does actually sound like one good use of it. languatalk.com/try-langua#pric
No deep understanding or nuance, plus stilted phrasing... but basic errors should be fine, like me forgetting to add が everywhere.

Huge wastage though! AI / LLM / Machine Learning services are massive carbon sources.
Especially with data centers in drought-prone areas, even a good use is still bad.
Hot areas cannot sustain AI: Computer calculations produce heat, which radiates away more slowly into already hot air.

Cooling AI data centers drains water -- especially potable / human-safe sources.
Reservoirs and water tables drop even faster than they would from extras in other human usage, evaporation due to global warming, and whatever third thing probably also happens.
Idk, I'm not a climate scientist. I just have climate grief.

languatalk.comLangua: the world's best AI platform for language learning • LanguaTalkBecome fluent fast through realistic speaking practice, comprehensible input, interactive transcripts, and scientifically-proven flashcard exercises.

Super Study Guide: Transformers & Large Language Models leanpub.com/transformers-large by Afshine Amidi and Shervine Amidi is the featured book on the Leanpub homepage! leanpub.com #ai #MachineLearning #DeepLearning #NeuralNetworks #books #ebooks

A clear, illustrated guide to large language models, covering key concepts and practical applications. Ideal for projects, interviews, or personal learning.

Find it on Leanpub!

AI is a hot topic these days, but what does that word even mean? Originally it was about our quest to understand our own minds, but it has come to refer to one technology: deep learning. We often talk about AI as if it were just a human mind in a box, but the reality is quite different, in nuanced ways that AI companies play down. In this month's blog post, I explore how AI relates to human intelligence, what it reproduces, and what it doesn't.

thinkingwithnate.wordpress.com

A photo of a jacquard loom in the middle of weaving a complex pattern in red and gold. The loom itself is a massive structure of solid wood beams with many strings, pulleys, and a collection of "punch cards" barely visible in the top left corner.
Thinking with Nate · How is AI like human intelligence?(The image for this post is a photo of a jacquard loom I took in the workshop of Luigi Bevilacqua in Venice. It’s a heavy wooden frame covered in pulleys and string, in the midst of weaving f…
#ai#dl#deeplearning

A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Face leanpub.com/finetuning by Daniel Voigt Godoy is the featured book on the Leanpub homepage! leanpub.com #ai #MachineLearning #DeepLearning #NeuralNetworks #gpt #books #ebooks

A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks.

Find it on Leanpub!

#Zoomposium with Dr. #Patrick #Krauß: Building instructions for #artificial #consciousness

Transferring the various stages of #Damasio's #theory of consciousness 1:1 into concrete #schematics for #deeplearning. To this end, strategies such as #feedforward connections, #recurrent #connections in the form of #reinforcement learning and #unsupervised #learning are used to simulate the #biological #processes of the #neuronal #networks.

More at: philosophies.de/index.php/2023

or: youtu.be/rXamzyoggCo

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